Why the study?
EVAR carries higher late complication rates than open repair, leaving clinicians to rely on personal experience for stent-graft selection and sizing without clear guidance on long-term implications.
Can patient-specific computational modeling optimize endovascular aneurysm repair (EVAR) interventions and reduce complications?
Design
Review
Authors
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Long-term EVAR surveillance may be warranted; leaves open durability optimization beyond IFU.
Can patient-specific computational modeling optimize endovascular aneurysm repair (EVAR) interventions and reduce complications?
Patient-specific computational modeling of EVAR holds promise for optimizing stent-graft selection and reducing long-term complications, provided that fast algorithms and model validation are achieved.
Avril et al. (2021) studied this question.
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